Triple

T17683745
Position Surface form Disambiguated ID Type / Status
Subject Jémez Mountains E440834 entity
Predicate contains P35 FINISHED
Object Valle Grande NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Valle Grande | Statement: [Jémez Mountains, contains, Valle Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valle Grande
Context triple: [Jémez Mountains, contains, Valle Grande]
  • A. Valle Grande chosen
    Valle Grande is a vast high-altitude volcanic caldera meadow in northern New Mexico, renowned for its scenic landscapes, wildlife, and geothermal features.
  • B. Valle Grande
    Valle Grande is a scenic canyon and reservoir area in Argentina’s Mendoza province, popular for outdoor activities like rafting, hiking, and camping.
  • C. Valle de Meyer
    Valle de Meyer is a historic sub-valley within Cuba’s Valley de los Ingenios, known for its former sugar plantations and colonial-era heritage linked to the sugar industry.
  • D. Valle Hermoso
    Valle Hermoso is a scenic locality in Argentina known for hosting a prominent stage of the Rally Argentina motorsport event.
  • E. Valle de San Luis
    Valle de San Luis is a historic sugar-producing valley near Trinidad, Cuba, known for its colonial-era plantations and role in the region’s 18th- and 19th-century sugar industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704626308190bbdd98d27beb3f24 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.